eCommons

 

Time-changed extremal process as a random sup measure

dc.contributor.authorLacaux, Céline
dc.contributor.authorSamorodnitsky, Gennady
dc.date.accessioned2014-10-09T13:51:16Z
dc.date.available2014-10-09T13:51:16Z
dc.date.issued2014-10-09
dc.description.abstractA functional limit theorem for the partial maxima of a long memory stable sequence produces a limiting process that can be described as a beta-power time change in the classical Fr\'echet extremal process, for beta in a subinterval of the unit interval. Any such power time change in the extremal process for 0<beta<1 produces a process with stationary max-increments. This deceptively simple time change hides the much more delicate structure of the resulting process as a self-affine random sup measure. We uncover this structure and show that in a certain range of the parameters this random measure arises as a limit of the partial maxima of the same long memory stable sequence, but in a different space. These results open a way to construct a whole new class of self-similar Fr\'echet processes with stationary max-increments.en_US
dc.description.sponsorshipARO grant W911NF-12-10385 and NSA grant H98230-11-1-0154en_US
dc.identifier.urihttps://hdl.handle.net/1813/37941
dc.language.isoen_USen_US
dc.subjectextremal processen_US
dc.subjectrandom sup measureen_US
dc.subjectheavy tailsen_US
dc.subjectstable processen_US
dc.subjectextremal limit theoremen_US
dc.subjectstationary max-incrementsen_US
dc.subjectself-similar processen_US
dc.titleTime-changed extremal process as a random sup measureen_US
dc.typepreprinten_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
supmeasure100314.pdf
Size:
323.63 KB
Format:
Adobe Portable Document Format
Description:
Main article